Numerical wave speed sensitivity study for assessment of myocardial elasticity in a simplified linear elastic and isotropic left ventricle model

• Published in: Medical engineering & physics 2021-12, Vol.98, p.20-27
• Main Authors: Carlson, Kent D., Pislaru, Cristina, Pislaru, Sorin V., Dragomir-Daescu, Dan
• Format: Article
• Language: English
• Subjects: Anisotropy; Elasticity; Elasticity Imaging Techniques - methods; Finite Element Analysis; Heart Ventricles; Humans; Intrinsic cardiac elastography; Intrinsic wave speed; Left ventricle; Parametric studies; Viscosity
• ISSN: 1350-4533; 1873-4030
• DOI: 10.1016/j.medengphy.2021.10.002

•Intrinsic cardiac elastography measures wave speed in heart to estimate elasticity•Wave speed sensitivity to geometric variations in the heart is not well understood•Wave speed sensitivity to material and geometric parameters was studied•Intrinsic cardiac wave speed depends strongly on elastic modulus•Wave speed is insensitive to geometric heart chamber parameters Since tissue elasticity can change with pathology, noninvasive assessment of elasticity has received increasing attention. Emerging methods for assessing cardiac elasticity utilize either an external source to induce propagating shear waves or intrinsic longitudinal waves created by natural cardiac events such as left ventricle stretching that occurs due to atrial kick during late diastole. However, the effect of morphological variations that occur in diseased hearts on this longitudinal stretch wave and the corresponding estimate of elasticity is not well understood and is an active area of research. This study investigated the sensitivity of longitudinal wave speed to material properties and chamber geometry parameters through numerical simulations using a finite element model of a bullet-shaped chamber with homogeneous isotropic linear elastic material properties. A longitudinal impulse displacement was applied to the base edge of the model to investigate wave propagation from this boundary. Parametric studies were performed for variables of interest related to geometry and material properties. The wave speeds estimated from simulation results were used to determine wave speed sensitivity to each variable. Wave speed was found to be a strong function of material elasticity and a weak function of chamber geometry and viscous damping. Simulated wave speed as a function of elasticity was in good agreement with wave speeds determined from an analytical expression for longitudinal wave speed in elastic thin plates. These promising preliminary results increase our understanding of how these parameters affect intrinsic longitudinal wave speed and warrant future studies addressing the impact of patient-specific model geometry, material anisotropy and hyperelasticity, and boundary conditions on wave speed.